Donostia / San Sebastián, Spain
Donostia / San Sebastián, Spain
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D'Souza S.,University of California at Los Angeles | Chang F.,University of California at Los Angeles | Pamarti S.,University of California at Los Angeles | Agarwal B.,Skyworks Solutions | And 3 more authors.
Proceedings - IEEE International Symposium on Circuits and Systems | Year: 2011

A programmable baseband anti-alias filter (AAF) for a passive-mixer-based, 1.8V, SAW-less, multi-band, multi-mode WEDGE (WCDMA/HSUPA/EGPRS) cellular transmitter (TX) is described. This paper presents an AAF which results in ultra-low, 170dBc/Hz, receive-band noise, and enables the first single-mixer-based, multi-mode, SAW-less TX. By providing the noise and linearity performance only on-demand from system requirements, the presented AAF enables power savings of 14mW, or 34% of the total 41mW TX power. The AAF has been fabricated as part of a single-chip 0.13μm CMOS transceiver. © 2011 IEEE.

Gastelurrutia J.,IKERLAN - IK4 | Beiza M.,Tecnun | Ramos J.C.,Tecnun | Anton R.,Tecnun | And 5 more authors.
IET Conference Publications | Year: 2013

The use of simulation tools has allowed companies to streamline their new product development processes reducing both cost and time-to-market. However, these virtual experimentation tools can be too complex and time consuming to be used by designers - That usually need a quick answer to compare and contrast different design solutions. This drawback is especially important when CFD (Computational Fluid Dynamics) is used to calculate the natural (non-forced) convection of a fluid, such as the oil inside an ONAN (Oil Natural Air Natural) distribution transformer or the air circulating in a transformer substation during the temperature-rise test. To address the situation described above, a customized simulation tool has been developed with the aim of reducing the computational cost that would require a model with the complete geometrical description. As a consequence both time-to-experiment and knowledge acquisition cost are reduced.

Introduction: Order picking is warehouse' key activity due to its impact on operation costs and service level, and an appropriate design will affect directly global performance. This paper evaluates the repercussion that different picking operating strategies have in a Part to Picker system while working under diverse order's types. Methods and materials: With this aim in mind, a Design of Experiment tool, based on the Define, Measure and Analyze phases of Six Sigma DMAIC approach, has been used. The experiments have been carried out basing on a simulation model that reproduces an automatic warehouse with a Miniload. Results: As a result of an analysis of variance ANOVA, the principal effects and interactions were identified.

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